TrendMiner Integrations

Harness the complete capabilities of your organization's time-series data through the dataPARC Historian. This innovative solution enhances data management by ensuring seamless and secure data movement throughout your enterprise. Its architecture is designed for straightforward integration with AI, machine learning, and cloud technologies, which fosters creative adaptability and richer insights. With rapid data retrieval, sophisticated manufacturing intelligence, and the ability to scale, the dataPARC Historian emerges as the premier option for companies aiming to excel in their operations. It transcends mere data storage; it is about converting data into actionable insights with remarkable speed and accuracy. The dataPARC Historian is distinguished as more than just a data storage solution. It equips organizations with the flexibility to leverage time-series data more effectively, ensuring that decisions are well-informed and impactful, supported by a platform celebrated for its reliability and user-friendliness. Additionally, its ability to adapt to changing business needs makes it an invaluable asset for future growth and innovation.

MySQL is recognized as the leading open source database in the world. Its impressive history of reliability, performance, and ease of use has made it the go-to choice for many web applications, including major platforms like Facebook, Twitter, and YouTube, as well as the five most visited websites. Additionally, MySQL is a popular option for embedded database solutions, with many independent software vendors and original equipment manufacturers distributing it. The database's flexibility and powerful capabilities further enhance its popularity across diverse sectors, making it a critical tool for developers and businesses alike. Its continued evolution ensures that it remains relevant in an ever-changing technological landscape.

Ignition SCADA by Inductive Automation® integrates unlimited licensing with immediate web-based deployment and top-tier tools for supervisory control (SCADA), all within a single open, scalable, and universal platform. This innovative SCADA solution addresses the significant shortcomings of traditional SCADA systems. By utilizing Ignition, your organization can efficiently oversee its operations and manage data tracking, visualization, analysis, and reporting. The Ignition SCADA software encompasses a comprehensive suite of data acquisition tools, featuring OPC UA for compatibility with nearly any PLC and allowing seamless integration with any SQL database. Additionally, Ignition transforms any SQL database into an industrial historian and facilitates connections to IIoT devices through MQTT, enhancing operational capabilities significantly. As a result, Ignition SCADA not only streamlines data management but also empowers businesses to adapt to emerging technologies with ease.

dataPARC serves as a user-friendly industrial data visualization and analytics toolkit aimed at process manufacturers who wish to enhance quality, boost yield, and streamline their operations. This platform enables users to gather, integrate, and scrutinize data from various sources within the plant using its robust process data analytics and visualization features. With dataPARC, users can tackle complex process and product quality challenges through intuitive yet effective trending and diagnostic analytics tools. Additionally, it allows for the creation of intricate dashboards and displays that facilitate process monitoring and the dissemination of production KPIs throughout the organization. By incorporating artificial intelligence (AI) and machine learning, dataPARC empowers users to foster ongoing improvements and elevate profit margins through predictive modeling, thereby ensuring that manufacturers stay competitive in an ever-evolving market. This comprehensive toolkit not only streamlines decision-making processes but also enhances operational efficiency across the board.

Amazon Redshift stands out as the favored option for cloud data warehousing among a wide spectrum of clients, outpacing its rivals. It caters to analytical needs for a variety of enterprises, ranging from established Fortune 500 companies to burgeoning startups, helping them grow into multi-billion dollar entities, as exemplified by Lyft. The platform is particularly adept at facilitating the extraction of meaningful insights from vast datasets. Users can effortlessly perform queries on large amounts of both structured and semi-structured data throughout their data warehouses, operational databases, and data lakes, utilizing standard SQL for their queries. Moreover, Redshift enables the convenient storage of query results back to an S3 data lake in open formats like Apache Parquet, allowing for further exploration with other analysis tools such as Amazon EMR, Amazon Athena, and Amazon SageMaker. Acknowledged as the fastest cloud data warehouse in the world, Redshift consistently improves its speed and performance annually. For high-demand workloads, the newest RA3 instances can provide performance levels that are up to three times superior to any other cloud data warehouse on the market today. This impressive capability establishes Redshift as an essential tool for organizations looking to optimize their data processing and analytical strategies, driving them toward greater operational efficiency and insight generation. As more businesses recognize these advantages, Redshift’s user base continues to expand rapidly.

Azure SQL Database, a key component of the Azure SQL suite, serves as a flexible and advanced relational database service tailored for cloud usage. This service benefits from ongoing improvements, integrating AI-driven functionalities that significantly enhance its performance and dependability. With features like serverless computing and Hyperscale storage, resources can dynamically scale based on demand, freeing developers to focus on crafting cutting-edge applications without the burden of managing storage constraints or resource distribution. The challenges of ensuring high availability, fine-tuning performance, handling backups, and carrying out various database operations are all addressed by this fully managed SQL service. It accelerates application development on a system that offers continuous SQL capabilities, meaning users are never encumbered by the necessity for updates, upgrades, or worries about the end of support. Furthermore, developers are granted the freedom to build modern applications in a way that aligns with their specific needs by utilizing both provisioned and serverless computing options. This adaptability enables rapid innovation and responsiveness in a fast-changing technological environment, fostering a culture of creativity and efficiency among development teams. Ultimately, Azure SQL Database stands as a robust solution for organizations seeking to leverage cloud-based technologies effectively.

TimescaleDB stands out as the leading open-source relational database tailored for managing time-series data, offering both managed and self-hosted options. You can trust the familiar PostgreSQL foundation, enjoying complete SQL support alongside unmatched reliability and a vast ecosystem. With the capability to write millions of data points per node, it allows for horizontal scaling up to petabytes without the hassle of high cardinality concerns. This database minimizes complexity, enabling you to pose more questions and develop more sophisticated applications. By leveraging advanced algorithms, you can achieve impressive compression rates of 94-97%, along with various performance enhancements that lead to significant cost savings. As a modern cloud-native platform, it efficiently handles all aspects of time-series data storage. Built on PostgreSQL and TimescaleDB, it represents the fastest, simplest, and most dependable method for managing your time-series information. Furthermore, all observability data falls under the umbrella of time-series data, highlighting the importance of finding efficient solutions for addressing infrastructure and application challenges. By optimizing data management, businesses can unlock valuable insights and enhance their operational efficiency.

Implementing tools that synchronize production and operations with strategic business objectives can help you realize untapped potential and foster a brighter future. Our adaptable and swift solutions enable the standardization of operations while maintaining a strong emphasis on safety across your organization. By doing so, you'll be positioned to eradicate inefficiencies, enhance profitability, and uplift your workforce, ultimately driving your business toward greater success. Embracing these solutions will not only streamline processes but also cultivate a culture of continuous improvement and innovation.

The PI System unlocks a wealth of operational insights and creates avenues for innovation. By delivering dependable and high-caliber operations data, it streamlines the journey toward digital transformation. This system enables data to be gathered, refined, and delivered in real-time from virtually any source. It equips engineers and operators with powerful tools while speeding up the analytical processes for data scientists. Furthermore, the PI System encourages new business opportunities through the aggregation of real-time information from a wide range of assets, including legacy systems, specialized equipment, remote devices, mobile technology, and IIoT innovations. It guarantees that users can retrieve their data regardless of where it resides or its format, thus facilitating the storage of extensive historical data at exceptional sub-second resolution. Organizations benefit from immediate access to high-fidelity historical, real-time, and predictive data, allowing them to uphold vital operations and extract significant business insights. By employing user-friendly labels and metadata, the data becomes more insightful, enabling users to create hierarchies that match their operational and reporting needs. This added context provides a comprehensive view, allowing individuals to connect data points to the larger narrative and make more educated choices. Consequently, the PI System not only boosts operational productivity but also propels strategic initiatives that have the potential to revolutionize entire industries. Ultimately, embracing the PI System can lead to a competitive advantage in a rapidly evolving market landscape.

PostgreSQL is a robust and well-established open-source object-relational database system that has been under continuous development for over thirty years, earning a strong reputation for its dependability, rich features, and exceptional performance. The official documentation provides thorough resources for both installation and usage, making it an essential reference for newcomers and seasoned users alike. Moreover, the vibrant open-source community supports numerous forums and platforms where enthusiasts can deepen their understanding of PostgreSQL, explore its capabilities, and discover job openings in the field. Participating in this community can greatly enrich your knowledge while strengthening your ties to the PostgreSQL network. Recently, the PostgreSQL Global Development Group revealed updates for all currently supported versions, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23, which fix 25 bugs reported in recent months. It is important to note that this update represents the final release for PostgreSQL 10, which will no longer receive any security patches or bug fixes moving forward. Therefore, if you are still using PostgreSQL 10 in a production environment, it is strongly advised to organize an upgrade to a newer version to maintain support and security. Transitioning to a more recent version will not only help safeguard your data but also enable you to benefit from the latest features and enhancements introduced in newer updates. Furthermore, keeping your database system up-to-date can significantly improve overall performance and provide better compatibility with modern applications.

Amazon Timestream is a fast, scalable, and serverless database solution specifically built for handling time series data, tailored for IoT and operational needs, enabling users to store and analyze trillions of events each day with speeds up to 1,000 times quicker and at a fraction of the cost compared to conventional relational databases. It effectively manages the lifecycle of time series data by keeping the most recent data in memory while transferring older information to a more cost-effective storage layer based on user-defined settings, which results in significant time and cost savings. The service's distinctive query engine allows users to access and analyze both current and historical data seamlessly, eliminating the need to specify the storage tier of the data being queried. Furthermore, Amazon Timestream is equipped with built-in analytics capabilities for time series data, enabling users to identify trends and patterns nearly in real-time, thereby improving their decision-making processes. This array of features positions Timestream as an excellent option for businesses aiming to utilize time series data effectively, ensuring they remain agile in a fast-paced data-driven environment. As organizations increasingly rely on data analytics, Timestream's capabilities can provide a competitive edge by streamlining data management and insights.

Elevate lean manufacturing methodologies for Food & Beverage and Consumer Packaged Goods producers by utilizing insights and intelligence from the Industrial Internet of Things (IIoT). Proficy Manufacturing Execution Systems (Proficy MES) provides a robust array of solutions aimed at transforming your F&B and CPG manufacturing processes through the unification of data, IIoT innovations, machine learning features, and predictive analytics. By seamlessly blending the digital realm with the physical facets of manufacturing, Proficy MES enables thorough performance management specifically designed for today's interconnected enterprises. This integration enhances the alignment of resources, optimizes energy consumption, and improves overall operational efficiency, resulting in lower inventory levels, the detection of expensive production flaws, reduced energy and utility waste, and enriched insights into throughput and critical operations. Additionally, feedback collected from Gartner Peer Insights offers genuine, unbiased evaluations from our clientele, showcasing their firsthand experiences with our Manufacturing Execution System (MES) product and its influence on their operations. These customer narratives not only reveal the transformative advantages brought by Proficy MES but also emphasize its crucial role in maximizing manufacturing productivity and driving business growth. Ultimately, investing in Proficy MES can lead to a significant competitive edge in the market.

A robust thin-client software solution that effortlessly merges data and improves performance tracking, leading to exceptional data visualization. The interface, which can be tailored to individual needs, streamlines the activities of trending, charting, monitoring, reporting, and showcasing data. Uniformance KPI acts as a vital metric management tool, enabling process plants to define and manage a wide array of key performance indicators (KPIs) such as safety, reliability, operational efficiency, and production results. Furthermore, Honeywell Process Trend Visualization is crafted to support engineers, operations teams, and critical plant personnel in easily interpreting and analyzing data, facilitating effective troubleshooting and informed decision-making. Consequently, facilities enhance their process intelligence, which promotes swifter and more informed business decisions, ultimately resulting in improved operational efficiency and productivity. This integration not only streamlines operations but also fosters a culture of continuous improvement within the organization.

The DeltaV S-series Electronic Marshalling with CHARMs offers the advantage of flexible field cabling arrangements, irrespective of the signal type or control method being used. Aimed at enhancing automation processes, the DeltaV™ Distributed Control System (DCS) effectively minimizes operational hurdles and reduces project risks. This sophisticated suite of products and services boosts plant performance by providing user-friendly control solutions that are easy to operate and maintain. Notably, the DeltaV DCS is highly adaptable, allowing for seamless scaling to meet specific operational needs without adding unnecessary complexity. Additionally, the system’s integration capabilities cover a wide range of functionalities such as batch processing, advanced control, change management, engineering support, diagnostics, and others, making it a well-rounded solution for your operational challenges. This comprehensive framework not only facilitates flexibility and integration but also ultimately leads to enhanced productivity and reliability in various industrial settings. By leveraging such advanced technology, organizations can significantly improve their overall performance and operational efficiency.

Data is fundamental to all operations within a processing facility, acting as the cornerstone for workflows, strategic planning, and environmental oversight. However, complications often arise from this very data, leading to operator errors, faulty sensors, safety issues, or subpar analytics. APERIO is designed to effectively tackle these problems. The reliability of data is essential for Industry 4.0, supporting advanced applications such as predictive analytics, process optimization, and custom AI solutions. APERIO DataWise, known for its robust reliability, stands out as the leading source of trustworthy data. By automating the quality assurance for your PI data or digital twins in a scalable and continuous manner, organizations can guarantee validated information that enhances asset dependability. This not only enables operators to make well-informed decisions but also helps in identifying risks to operational data, which is crucial for sustaining operational resilience. Additionally, it offers accurate monitoring and reporting of sustainability metrics, thus fostering more responsible and efficient practices. In the current landscape driven by data, harnessing dependable information has transitioned from being a mere advantage to an essential requirement for achieving success. The integration of high-quality data solutions can transform the way organizations approach their operational challenges and sustainability goals.

Streamlining access to and distribution of data in tailored record formats empowers organizations to make informed, data-driven choices that enhance their production workflows. The incorporation of real-time computational engines supports oversight and performance analysis across the organization, with the goal of reducing operational expenses. By establishing enhanced work methodologies within a flexible, secure framework, a variety of users can engage in enterprise-wide benchmarking. This approach not only accelerates cycle times but also allows for a focused examination of key problem areas by correlating performance metrics, downtime, and product quality with equipment functionality. Centralized monitoring of performance is crucial in this context. It enables the ongoing observation of vital metrics and the prioritization of significant alerts, delivering immediate insights into asset performance organization-wide. Through the enhancement of Overall Equipment Effectiveness (OEE), businesses can increase uptime, efficiency, and utilization, gaining better visibility into equipment availability, performance, and quality, and thereby concentrating efforts on high-value areas. Consequently, organizations are positioned to implement meaningful enhancements in their operational strategies that lead to greater competitiveness in the market. This comprehensive approach can transform how organizations operate and succeed in their respective industries.